With the advances in high-throughput technologies, millions of girls hoody somatic mutations have been reported in the past decade.Identifying driver genes with oncogenic mutations from these data is a critical and challenging problem.Many computational methods have been proposed to predict driver genes.Among them, machine learning-based methods us
Hereditary hemolytic disorders are important public health challenges in India.They cause a high degree of morbidity, mortality and fetal wastage in vulnerable communities.Tradition-bound-psychosocial influences are detrimental to the process of prevention.This study was designed to create awareness, motivate, and sensitize two major vulnerable tri
In developed countries, most of the population recognizes that they are facing environmental and social threats which are mainly related to global warming.The problem associated with an ecological footprint, particularly water shortage, ecosystems, climate change, deforestation, and declining biodiversity, is considered a harmful threat to human li
In order to improve the prediction accuracy of groundwater pollution diffusion path, this paper combines multivariate data fusion technology to predict and analyze the groundwater pollution diffusion path.Under the special two-strategy swarm game model of water pollution particle Television VHS Tapes swarm, this paper introduces replication dynamic
Hypertensive urgency is a major risk factor for cardiovascular events and premature deaths.Lack of medication adherence is associated with poor health outcomes among patients with hypertensive urgency in resource-limited settings.To inform the development of tailored interventions to improve health outcomes in this MAG MALATE RENEW population, this